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Application for UC Davis Global One Health Project Grant 1. Title of ...

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England, Jersey, and Australia and has been involved in many captive <strong>for</strong> release wildlife<br />

conservation programmes. He is co-author <strong>of</strong> the CBSG publication 'Animal Movements and<br />

Disease Risk' (2002); consultant to NZ Department <strong>of</strong> Conservation on wildlife health and<br />

disease risk issues - primary application <strong>of</strong> DRA tools has been in relation to wildlife<br />

translocations within New Zealand but increasingly addressing the growing need to apply these<br />

tools to disease risks to wildlife in situ.<br />

richard.jakob-h<strong>of</strong>f@aucklandcouncil.govt.nz<br />

Dr. Phil Miller<br />

Phil is a Senior Program Officer with the Conservation Breeding Specialist Group (CBSG), an<br />

international wildlife conservation organization that is part <strong>of</strong> the Species Survival Commission<br />

<strong>of</strong> the I<strong>UC</strong>N. Academically trained as a population geneticist and conservation biologist (PhD,<br />

Arizona State University), Phil integrates the use <strong>of</strong> computer simulation approaches <strong>for</strong><br />

population viability analysis with group facilitation tools to develop conservation strategies<br />

across a broad diversity <strong>of</strong> endangered wildlife species and against an equally diverse human<br />

cultural background. Through planning and conducting more than 75 risk assessment workshops<br />

in nearly 40 countries around the world, he has helped local people plan <strong>for</strong> endangered species<br />

conservation in the explicit context <strong>of</strong> human activities on the landscape. Phil has also been<br />

involved in CBSG’s Disease Risk Assessment project since the mid-1990’s, focusing primarily<br />

on the collaborative development <strong>of</strong> the disease dynamics simulation model called Outbreak, now<br />

used by CBSG and colleagues around the world to explore the impacts <strong>of</strong> disease on wildlife<br />

populations. His new area <strong>of</strong> research involves the integration <strong>of</strong> population viability analysis<br />

with tools from the field <strong>of</strong> decision analysis to help local wildlife management <strong>of</strong>ficials make<br />

more in<strong>for</strong>med decisions <strong>for</strong> species and habitat conservation.

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